About
Anamika Ahirwar, PhD, is working as a Professor in the Department of Computer Science and Engineering at Compucom Institute of Technology & Management, Jaipur, Rajasthan, India. She has 21 years of experience in teaching and research. She has published more than 70 research papers in reputed national and international journals and conferences. She has authored and reviewed many books published by national and international publishers. She completed her PhD. in Computer Applications at RGPV, Bhopal, India. She acquired her master’s degree (MCA) from Government Gitanjali Girls PG College, Bhopal (M.P.), India, and completed her BSc (Maths) degree at Government K.R.G. PG Autonomous College, Gwalior, M.P., India. Dr. Ahirwar’s research areas include medical imaging, data mining, celestial sound, IoT, and machine learning. She has delivered several expert and guest lectures, attended seminars, and chaired sessions at various IEEE and other international conferences. She is actively serving as a journal reviewer for various publishers, such as IEEE, Springer, John Wiley, and IGI Global, and is also an editorial board member of IEEE conferences and other reputed international journals and conferences. She is a member of the International Association of Engineers (IAENG), Hong Kong. She has published five patents. Dr. Ahirwar has guided many research projects. She has been awarded a National Eminent Researcher Award, National Eminent Academic Influencer Award, an Academic ICON Award Shikshak, and a Best Research Publication Award.
Employment
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Compucom Institute of Technology and Management Professor2021 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Examining the Development of Cloud Kitchens: Consequences for the Hospitality and Tourism Industries’ Future Save
- Empirical Approaches to Personality Prediction via Automated Handwriting Analysis: A Critical Review and Demonstration of Capabilities Save
- Analyzing Financial Sentiments Using BERT Model: A Deep Dive Into Market Perception and Investor Behavior for Informed Investment Decisions Save
- Brain Informatics Technology Save
- Challenges and Future Direction of Brain Imaging Studies with Focus on Understanding Save
- Data Acquisition Technologies in Brain Informatics Save
- Dry sliding tribological characteristics evaluation and prediction of TiB2-CDA/Al6061 hybrid composites exercising machine learning methods Save
- Future Trends and Emerging Sustainable Technologies in Biomedical Field Save
- Preface Save
- Software engineering and IoT-driven systems for monitoring sustainable food practices in hospitality Save